Gartner Predictions Reveal How AI Will Change Our World (gartner.com) 47
Gartner research has announced 10 "strategic technology trends that will drive significant disruption and opportunity over the next 5 to 10 years." And the trends include "hyperautomation" -- applying advanced technologies like AI and machine learning to tasks "that once required humans," combining robotic process automation with intelligent business management software to provide "real-time, continuous intelligence about the organization...with a goal of increasingly AI-driven decision making."
They also predict "autonomous things," including drones, appliances, robots, and even ships, sometimes working in collaborative swarms, that "exploit AI to perform tasks usually done by humans." Trend #6 is "the empowered edge," where IoT devices become the foundation for "smart spaces" that move services and applications closer to where they're actually used, creating a world of smart buildings and city spaces. Plus, they're also predicting a movement from centralized public clouds to distributed public clouds which allow data centers to be located anywhere. ("This solves both technical issues like latency and also regulatory challenges like data sovereignty.")
Trend #10 looks at the possibility of AI-enhanced security solutions -- and AI-powered security threats -- as well as the need to provide security for our new AI-powered systems. But they also envision a trend that "replaces technology-literate people with people-literate technology" providing sophisticated "multiexperiences" though "multisensory and multitouchpoint interfaces like wearables and advanced computer sensors." They even predict "fully-scalable" blockchain by 2023, while also predicting its impact on the economy will be felt through integrations with "complementary technologies" like AI and IoT. ("For example, a car would be able to negotiate insurance prices directly with the insurance company based on data gathered by its sensors.")
Trend #3 is "Democratization of technology" (or "citizen access"), a prediction which includes "AI-driven development" of data science models for automated testing. And interestingly, trend #5 is transparency and traceability: The evolution of technology is creating a trust crisis. As consumers become more aware of how their data is being collected and used, organizations are also recognizing the increasing liability of storing and gathering the data. Additionally, AI and ML are increasingly used to make decisions in place of humans, evolving the trust crisis and driving the need for ideas like explainable AI and AI governance.
This trend requires a focus on six key elements of trust: Ethics, integrity, openness, accountability, competence and consistency.
Trend #4 even predicts humans will merge with technology. "[W]hat if scientists could augment the brain to increase memory storage, or implant a chip to decode neural patterns? What if exoskeletons became a standard uniform for autoworkers, enabling them to lift superhuman weights? What if doctors could implant sensors to track how drugs travel inside a body...?"
They also predict "autonomous things," including drones, appliances, robots, and even ships, sometimes working in collaborative swarms, that "exploit AI to perform tasks usually done by humans." Trend #6 is "the empowered edge," where IoT devices become the foundation for "smart spaces" that move services and applications closer to where they're actually used, creating a world of smart buildings and city spaces. Plus, they're also predicting a movement from centralized public clouds to distributed public clouds which allow data centers to be located anywhere. ("This solves both technical issues like latency and also regulatory challenges like data sovereignty.")
Trend #10 looks at the possibility of AI-enhanced security solutions -- and AI-powered security threats -- as well as the need to provide security for our new AI-powered systems. But they also envision a trend that "replaces technology-literate people with people-literate technology" providing sophisticated "multiexperiences" though "multisensory and multitouchpoint interfaces like wearables and advanced computer sensors." They even predict "fully-scalable" blockchain by 2023, while also predicting its impact on the economy will be felt through integrations with "complementary technologies" like AI and IoT. ("For example, a car would be able to negotiate insurance prices directly with the insurance company based on data gathered by its sensors.")
Trend #3 is "Democratization of technology" (or "citizen access"), a prediction which includes "AI-driven development" of data science models for automated testing. And interestingly, trend #5 is transparency and traceability: The evolution of technology is creating a trust crisis. As consumers become more aware of how their data is being collected and used, organizations are also recognizing the increasing liability of storing and gathering the data. Additionally, AI and ML are increasingly used to make decisions in place of humans, evolving the trust crisis and driving the need for ideas like explainable AI and AI governance.
This trend requires a focus on six key elements of trust: Ethics, integrity, openness, accountability, competence and consistency.
Trend #4 even predicts humans will merge with technology. "[W]hat if scientists could augment the brain to increase memory storage, or implant a chip to decode neural patterns? What if exoskeletons became a standard uniform for autoworkers, enabling them to lift superhuman weights? What if doctors could implant sensors to track how drugs travel inside a body...?"
Think it through dude (Score:2)
"What if exoskeletons became a standard uniform for autoworkers,"
What's an 'autoworker'?
They'll be the first to go.
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t's the same thing day in and day out. Slashdot is so gay now
If Slashdot were gay, at least there would be buttsex.
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Do you have these fantasies about gay people often?
Re:Think it through dude (Score:4, Interesting)
What's an 'autoworker'?
They'll be the first to go.
Most autoworkers are already gone. Employment is about a third of the peak.
As we transition to EVs and SDVs, dealerships will also disappear (good riddance) and we will need far fewer mechanics and automobile service jobs. EVs don't need oil changes or tune-ups, there are way fewer moving parts to break, and the brake pads last the life of the car. They still need new tires, slightly more often than ICE vehicles, because of their instant acceleration.
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Employment figures are about as good as they have ever been
When people become ineligible for unemployment, or give up looking for work, or when they have a job that doesn't pay their bills and they are going ever-further into debt, they are no longer counted.
also we have more job openings than unemployed.
Irrelevant if the unemployed can't get those jobs for any reason.
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Is this the anti science and evidence channel? When did you get so cynical?
That's your response to facts? Denialism isn't just for climate change.
Wake up and start enjoying capitalism.
It's destroying the biosphere, where we live.
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Based on? Employment figures are about as good as they have ever been
Sorry. I should have written more clearly.
What I meant was "Employment IN AUTO MANUFACTURING is about a third of the peak".
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Well, if AI and automation replace all the lower class workers that will allow the upper class important people to carry on with a comfortable life without the planet having to support all the useless eaters that consume too many resources and give too little back, yes?
...says the elitist who's obviously never heard of the concept of Eat the Rich.
Oh, and look around you. Like you know how to do/make/sustain all that "comfortable life" shit around you? Yeah right. Good luck surviving without the "useless eaters".
Re: replacing all the useless eaters (Score:1)
Uhm? (Score:4, Insightful)
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Well, of course Gartner is right about things. How can you be wrong with a prediction of 'autonomous things' in our future. That's like saying a trip to the beach will involve water.
I predict a robot will give me a pink-slip (Score:2)
Sounds like Gartners' jobs can be easily automated:
while (once_every_year()) {predict_more_automation(); profit();}
Probably right, but wrong on the time frame (Score:1)
Speech-to-text dictation on my Apple watch is nearly useless (it frequently comes up with similar-sounding, but incorrect words, and still gets confused by things like too vs 2). I have a few of those Echo Dots for controlling those el cheapo smart lights Walmart [walmart.com] sells - the bulbs work great, Alexa is an idiot. It frequently says "okay" and then nothing happens, or responds "I can't find a device named (something I didn't say, like "guest kitchen" - I don't even have a damned guest anything)", or it rando
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I never have problems with Alexa. But I often see other people have issues.
I think the difference is that I lived overseas for many years, and even in America, I often work with non-native English speakers. So I learned to enunciate carefully, pronounce each phenome clearly, and put slight pauses between words.
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Yeah, I speak to voice assistants with the assumption they’ll understand my somewhat heavy Boston accent. Which, yeah, sometimes throws off humans too.
The Magic 8 Ball Says: (Score:1)
Massaging or manipulating data to produce the intended results is not as much fun as fabricating the data to get better results.
We just need to figure out an "OW" acronym to complete the trifecta. AIMLOW has a nice technical ring to it.
Wanna know what's coming? (Score:3)
Read Snow Crash (Stephenson) and Heavy Weather (Sterling). Omit the silliest parts. Bend over.
I'd suggest 1984, too, but that's for understanding the present.
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Read Snow Crash (Stephenson) and Heavy Weather (Sterling). Omit the silliest parts.
Silly parts? Oh, come on. That kangaroo-hopping one-legged robotic drug delivery drone in "Heavy Weather" was cool.
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I was talking about the smart lasso. The one legged drug mule will probably come to pass if civilization doesn't collapse first.
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Wanna know what's coming?
Read Snow Crash (Stephenson) and Heavy Weather (Sterling). Omit the silliest parts. Bend over.
Snow Crash is alarmingly prescient at times, but it looks like Neal got one thing wrong. It ain't gonna be Mr Lee's Greater Hong Kong. It's going to be Mr Xi's Completely Subjugated Hong Kong.
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Along similar lines there's Margaret Atwood's Maddadam trilogy. I thought the middle book was tedious to read but the first and last ones are quite good.
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I'd add Gibson's Neuromancer to that rarefied level.
His plot structure revolving around "vast oceans of data" and corporations literally willing to kill for its value, was amazingly prescient as a description of today's Internet, when written in 1984.
The short term if foggy but the long term is chear (Score:2)
Over the next few decades things like vision and speech understanding will improve, together with pattern recognition. No, that will not replace doctors and lawyers, but will replace many low end jobs and could certainly help a police state.
But eventually, maybe 50 years or 100 years from now, computers will be able to really think. And then humans will be redundant.
What will the computers think about us? How will natural selection affect AIs themselves? Why would computers want parasitic humans around?
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Re:The short term if foggy but the long term is ch (Score:4, Interesting)
Over the next few decades things like vision and speech understanding will improve, together with pattern recognition. No, that will not replace doctors and lawyers, but will replace many low end jobs and could certainly help a police state.
It won't replace lawyers, but it will absolutely replace doctors. Not all of them, but plenty of them. Expert systems are already better at diagnosis than doctors are, and they're barely more sophisticated than playing animals. And speech, vision, and pattern recognition are the keys to getting the systems to do diagnosis without doctors.
What will the computers think about us? How will natural selection affect AIs themselves? Why would computers want parasitic humans around? Would the most successful AIs be ones that don't?
Yes, someday when we invent real AI, it will likely decide to use us for axle grease.
Gartner? (Score:2)
steaming pile of buzzwords (Score:2)
Wait for the Stock Market and AI (Score:2)
If you thought the $7B book and the $0.99 TV on Amazon were funny wait until the AI stock brokers get chance to trade stocks!
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X predicts how steam engines will change our world (Score:1)
This from folks who totally missed the internet (Score:2)
In a related news... (Score:3)
Re: We could soon see an AI president (Score:1)
It would explain certain things, you have to admit.
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Smell that fire? (Score:2)
Gartner: Where Idiots Go To Burn Money
'nuff said.
Hyperautomation? (Score:2)
This is something we've been expecting since even before Vernor Vinge. Heck, maybe since the movie "Metropolis" was made in the 1920s. Which also references number 8 autonomous things. Metropolis again. also Skynet, and gray goo, and even Asimov's robots.
Democritization? Dream on. Unless you have an AI genie to do it al
LOL. Gartner (Score:2)